University Alliance

Optimized deep convolutional pulse-coupled neural network-based dynamic load balancing framework for effective edge-cloud IoT processing in smart cities

Purpose The rapid expansion of Internet of Things (IoT) ecosystems in smart cities generates massive heterogeneous data streams that demand energy-efficient, secure and low-latency processing. Traditional cloud-centric systems face communication overhead, workload imbalance and l...